Oluwapelumi Oluwaseyi

Site Reliability Engineer

Hi! My name is Oluwapelumi Oluwaseyi AKA Eniayomi and I am a site reliability engineer with a passion for ensuring the smooth and efficient operation of systems and services. With over 4 years of experience in the field, I have developed a strong understanding of system architecture, networking, and software development, which allows me to quickly identify and resolve issues that may arise.

In my current role, I work closely with development and operations teams to design, implement, and maintain robust and scalable infrastructure. I am skilled in a variety of technologies, and have a proven track record of delivering high-quality solutions that meet the needs of both users and the business.

Outside of work, I enjoy staying up to date with the latest developments in the field and sharing my knowledge with others through mentorship. I am always seeking out new opportunities to learn and grow as a site reliability engineer, and i am excited to be a part of a team that values excellence and collaboration.

I'm currently working as Site Relaibility Engineer at Deimos.

Site Reliability Engineering
I have extensive experience with a lot of DevOps/SRE tools.

Scripting Languages
Industry experience using scripting languages such as Python, and golang for the development of tools to be used by other engineers.

Specialties
AWS, GCP, AZURE, Kubernetes, Jenkins, CI/CD, Linux, Cost-Optimization, Scripting, Python, Go, Terraform and more

Work Experiences

Deimos

Remote, South Africa
Site Reliability Engineer
Jun. 2022 - Present

Technologies:
K8S, GCP, AWS, Ansible, Terraform, Argo CD, Gitlab CI, Azure, grafana, prometheus

Responsibilities:
Employ machine learning algorithms and generating training data.
Developed CNN based model for text classification using Tensorflow.
Developed RNN, BILSTM based models for NER detection and Text classification using Tensorflow.
Generate words embedding using word2vec, fasttext and glove models.
Develop App architecture and provide technical guidance to the team.
Optimizing the performance bottlenecks using multi-processing.
Generate training data from scratch using advance regexes.
Develop App architecture and provide technical guidance to the team.
Detecting and optimizing the performance bottlenecks.
Responsible for full release cycle of the project.
Develop the pipelines to enable ML models training on multiple machines and make real time predictions.
Responsible for the code deployment on the staging and Production environment on AWS Services.
Parsing trip emails for extracting the entities using NLP / machine learning.
Developed CNN classification models in tensorflow for NLP problem.
Building and managing new features and integrations with third-party services.
Machine learning models deployment using flask and docker.
Peer code reviews.

Wizeline

Remote, Mexico
Site Reliability Engineer
Feb. 2022 - May. 2022

Technologies:
Python, Tensorflow, Pandas, Flask, Pytest, Pandas,

Responsibilities:
Developed a natural language multi-turn interactive bot, to be hosted within a distributed Flask-based python web service. The bot service is conversational context and disambiguate references, allowing for multi-turn interactions.
Responsible for the code deployment on the staging and Production environment on AWS Services.
Peer code reviews.

Ericsson

Remote, Turkey
DevOps Engineer
Jun. 2021 - Feb. 2022

Technologies:
Tensorflow, Keras, Scikit-learn, pandas, spacy, Numpy, NLP, Deep learning, Machine learning, Flask

Client: Kayak, Lola travel, Travelliance

Responsibilities:
Developed a natural language multi-turn interactive bot, to be hosted within a distributed Flask-based python web service. The bot service is conversational context and disambiguate references, allowing for multi-turn interactions.
Parsing trips emails for extracting the entities using NLP / machine learning.
Developed text classification models in tensorflow for NLP problem.
Developed the CCN models in tensorflow for text classification problem.
Developed the CCN models in tensorflow for image classification problem.
Building and managing new features and integrations with third party services.
Responsible for the code deployment on the staging and Production environment on AWS Services.
Responsible for full release cycle of the project.
Responsible for the code deployment on the staging and Production environment on AWS Services.
Detecting and optimizing the performance bottlenecks and provide technical guidance to the team.
Peer code reviews.
Machine learning Engineer.
Team lead.

Gloopro

Remote, Nigeria
DevOps Engineer
Aug. 2020 - Jun. 2021

Technologies:
Django, Android, Laravel, Angularjs, Python, Java, PHP, Javascript

Responsibilities:
Developed enterprise web app with AngularJS, Django, ElasticSearch and Docker.
Architecting and developing web applications in Flask and AngularJS.
Building, testing and documenting RESTful APIs.
Developed the Android blog app using RESTful API in java.
Developed caching engine using Redis.io.
Used celery for managing and scheduling background tasks.
Developed CI(Travis ci) pipelines for automatic deployments.
Used Pytest and Pylint for code testing and pep standardization.
Used Docker for developing micros services.
Used Docker swarm for sever load balancing.
Responsible for the code deployment on the staging and Production environment on AWS Services.
Responsible for coming up with user stories and leading technical meetings in the company.
-Client communication.

Chiji14xchange

Remote, Nigeria
DevOps Engineer
Feb. 2020 - Jun. 2020

Technologies:
Django, Android, Laravel, Angularjs, Python, Java, PHP, Javascript

Responsibilities:
Developed enterprise web app with AngularJS, Django, ElasticSearch and Docker.
Architecting and developing web applications in Flask and AngularJS.
Building, testing and documenting RESTful APIs.
Developed the Android blog app using RESTful API in java.
Developed caching engine using Redis.io.
Used celery for managing and scheduling background tasks.
Developed CI(Travis ci) pipelines for automatic deployments.
Used Pytest and Pylint for code testing and pep standardization.
Used Docker for developing micros services.
Used Docker swarm for sever load balancing.
Responsible for the code deployment on the staging and Production environment on AWS Services.
Responsible for coming up with user stories and leading technical meetings in the company.
-Client communication.

Linuxjobber

Remote, USA
DevOps Engineer
Oct. 2018 - Aug. 2020

Technologies:
Laravel, Zend Framework, Magento, Wordpress, Joomla, woo-commerce, Jquery, PHP, Html, Javascript

Responsibilities:
Developed scalable systems with Laravel and codeigniter frameworks.
Developed the E-commerce solutions in Magneto.
Provide the customized CMS solution in PHP.
Blog base CMS in WordPress and Joomla.
Developed single page application Used AngularJS and jQuery.
Developed Jquery plugins for custom requirements.
Used MySQL for data.
Leveraged the open source modules i.e. Mailchimp for mailing service and stripe for building payment system.

Professional Skills

Top Skills

100%

Kubernetes

3 years
90%

AWS

Cloud Architect, 3 years
80%

Jenkins

3 years

Other Skills

GCP Azure Terraform Docker Grafana Python Bash Go Ansible
ELK Linux Mysql GIT Gitlab CI Cloudformation

Education & Certification

BS Computer Science
Caleb University, imota
2016 - 2019
Grade: Second Class Upper
Certifications
AWS
AWS Certified Cloud Practitioner Certificate link

Testimonials

Mentorship

HNG Internship

  • DevOps Mentor

Zuri Internship

  • DevOps Mentor

Google Developers

  • DevOps Mentor

Get in Touch

I'm currently taking on freelance work.

I can help with the following:

  • Cloud Migration (AWS, AZURE, GCP)
  • DevOps and Linux Issues
  • CI/CD setup (Jenkins, gitlab ci, circle ci and more)

Drop me a line at hello@eniayomi.com or call me at +2349049223236